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Group of attendees at the Quantum Computing User Forum

Hosted by the Quantum Computing Institute and the Oak Ridge Leadership Computing Facility, the fourth annual event brought together over 100 attendees to discuss the latest developments in quantum computing and to learn about results from projects supported by the OLCF’s Quantum Computing User Program.

AIRES 4 attendees hailing from seven national laboratories and from academia met to discuss robust engineering for digital twins. Credit: Pradeep Ramuhalli/ORNL, U.S. Dept. of Energy

ORNL hosted its fourth Artificial Intelligence for Robust Engineering and Science, or AIRES, workshop from April 18-20. Over 100 attendees from government, academia and industry convened to identify research challenges and investment areas, carving the future of the discipline.

ORNL’s Travis Humble, Quantum Science Center director, addresses students during a working lunch. Credit: Teresa Hurt/ORNL, U.S. Dept. of Energy

Quantum computing sits on the cutting edge of scientific discovery. Given its novelty, the next generation of researchers will contribute significantly to the advancement of the field. However, this new crop of scientists must first be cultivated.

The DuAlumin-3D research team developed a lightweight, aluminum alloy for additive manufacturing. Credit: Carlos Jones, ORNL/U.S. Dept. of Energy

Dean Pierce of ORNL and a research team led by ORNL’s Alex Plotkowski were honored by DOE’s Vehicle Technologies Office for development of novel high-performance alloys that can withstand extreme environments.

Xiao-Ying Yu portrait

Xiao-Ying Yu, a distinguished scientist at the Department of Energy’s Oak Ridge National Laboratory, has been named a Fellow of AVS: Science and Technology of Materials, Interfaces, and Processing, formerly American Vacuum Society.

ORNL team members applied three independent strategies to decrease their project’s computational workload, which reduced their time to solution from months to a few weeks. First, in a technique called qubit tapering, they decreased the number of qubits required to express the problem, reducing the size of the problem itself. Second, they took fewer measurements to solve the problem by measuring groups of terms once rather than measuring each individual term from every group

Using the full capabilities of the Quantinuum H1-1 quantum computer, researchers from ORNL not only demonstrated best practices for scientific computing on current quantum systems but also produced an intriguing scientific result.

Clouds of gray smoke in the lower left are funneled northward from wildfires in Western Canada, reaching the edge of the sea ice covering the Arctic Ocean. A second path of thick smoke is visible at the top center of the image, emanating from wildfires in the boreal areas of Russia’s Far East, in this image captured on July 13, 2023. Credit: NASA MODIS

Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.

Shown are additively manufactured thin-walled, functionally graded builds from IN718 to C103 alloys, via a thick transition layer having high specific strength. Credit: Brian Jordan, Soumya Nag, ORNL/U.S. Dept. of Energy

Research into a new, unique technology to fabricate composite metal parts for a wide range of applications operating in extreme environments across the aviation, space and energy industries is showing promise for additive manufacturing.

top view of cicada wing

Over the past decade, teams of engineers, chemists and biologists have analyzed the physical and chemical properties of cicada wings, hoping to unlock the secret of their ability to kill microbes on contact. If this function of nature can be replicated by science, it may lead to products with inherently antibacterial surfaces that are more effective than current chemical treatments.

This map illustrates the natural climate variability that affects the cold-season climate of the Central Southwest Asian region. Credit: Moetasim Ashfaq/ORNL

As extreme weather devastates communities worldwide, scientists are using modeling and simulation to understand how climate change impacts the frequency and intensity of these events. Although long-term climate projections and models are important, they are less helpful for short-term prediction of extreme weather that may rapidly displace thousands of people or require emergency aid.